Showing results 1 to 4 of 4
ANOVIZ: A Visual Inspection Tool of Anomalies in Multivariate Time Series Trirat, Patara; Nam, Youngeun; Kim, Taeyoon; Lee, Jae-Gil, 37th AAAI Conference on Artificial Intelligence, AAAI 2023, Association for the Advancement of Artificial Intelligence, 2023-02-12 |
Context-Aware Deep Time-Series Decomposition for Anomaly Detection in Businesses Nam, Youngeun; Trirat, Patara; Kim, Taeyoon; Lee, Youngseop; Lee, Jae-Gil, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2023, pp.330 - 345, Springer Science and Business Media Deutschland GmbH, 2023-09-19 |
COVID-EENet: Predicting Fine-Grained Impact of COVID-19 on Local Economies Kim, Doyoung; Min, Hyangsuk; Nam, Youngeun; Song, Hwanjun; Yoon, Susik; Kim, MinSeok; Lee, Jae-Gil, 36th AAAI Conference on Artificial Intelligence, AAAI 2022, pp.11971 - 11981, Association for the Advancement of Artificial Intelligence, 2022-02-25 |
Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea Kim, MinSeok; Kang, Junkyeok; Kim, Doyoung; Song, Hwanjun; Min, Hyangsuk; Nam, Youngeun; Park, Dongmin; et al, 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2020, pp.3466 - 3473, Association for Computing Machinery, 2020-08-24 |
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